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TEKNIK GEOVISUALISASI UNTUK PERCEPATAN PEMETAAN BATAS DESA DI DAERAH BERBUKIT Pratama, Abimanyu Putra; Wibowo, Totok Wahyu; Ambhika, Nafian
MAJALAH ILMIAH GLOBE Vol 21, No 1 (2019)
Publisher : Badan Informasi Geospasial

Pemetaan desa menjadi salah satu fondasi untuk melakukan pembangunan desa. Metode kartometrik menjadi cara yang banyak digunakan untuk menarik batas desa yang didukung dengan berbagai macam data geospasial misalnya Citra Satelit Resolusi Tinggi (CSRT) dan Digital Elevation Model (DEM). Peta kerja yang digunakan sebagai data utama dalam diskusi para pemangku kepentingan untuk menarik batas desa, semestinya disusun secara optimal untuk mempermudah penarikan garis batas. Umumnya pengenalan batas desa pada daerah perkotaan terbantu dengan penggunaan CSRT, karena objek yang menjadi penanda batas mudah dikenali. Namun demikian, pada daerah berbukit pengenalan batas desa dari CSRT relatif lebih sulit dilakukan, karena minimnya unsur buatan manusia yang umumnya menjadi penanda batas. Penelitian ini bertujuan untuk melakukan optimalisasi peta kerja dengan memanfaatkan kombinasi geovisualisasi 2D, 2,5D, dan 3D untuk penarikan garis batas desa pada daerah berbukit. Geovisualisasi tersebut didukung dengan menggunakan data DEMNAS untuk menghasilkan hillshade yang disajikan dengan teknik multi hillshade. DEMNAS digunakan karena memiliki resolusi spasial yang cukup tinggi (0.27-arcsecond) dan bersifat open access. Data lain yang digunakan adalah CSRT, peta kontur, dan peta jaringan sungai. Hasil penelitian menunjukkan bahwa dalam penarikan batas desa pada daerah berbukit, diperlukan peta kerja yang mengombinasikan geovisualisasi dari berbagai dimensi. Dalam hal ini visualisasi 2,5D dan 3D dapat membantu pengenalan objek perbukitan seperti punggung dan lembah, sehingga delineasi dapat dilakukan dengan lebih mudah. Informasi tambahan seperti adanya data pilar batas dan ketersediaan sumber daya manusia yang mengerti batas desa akan semakin mempermudah proses penarikan garis batas desa.

Tourist Attraction Popularity Mapping based on Geotagged Tweets Wibowo, Totok Wahyu; Bustomi, Ahmad Faizan; Sukamdi, Anggito Venuary
Forum Geografi Vol 33, No 1 (2019): July 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i1.8021

The development of tourist attractions is now highly influenced by social media. The speed at which information can be disseminated via the Internet has become an essential factor in enabling distinct tourist attractions to potentially gain high popularity in a relatively short time. This condition was not as prevalent several years ago when tourism promotion remained limited to a certain kind of media. As a consequence, rapid change in the relative popularity of tourist attractions is inevitable. Against this, knowledge of tourist attraction hotspots is essential in tourism management. This means there is a need to study how to both quickly determine the popularity level of tourist attractions and encompass a relatively large area. This article utilised tweet data from microblogging website Twitter as the basis from which to determine the popularity level of a tourist attraction. Data mining was conducted using Python and the Tweepy module. The tweet data were collected at the end of April and early May 2017, at times when there are several long holiday weekends. A Tweet Proximity Index (TPI) was used to calculate both the density and frequency of tweets based on a defined search radius. A Density Index (DI) was also used as a technique for determining the popularity. The results from both approaches were then compared to a random survey about people?s perceptions of tourist attractions in the study area. The result shows that geotagged tweet data can be used to determine the popularity of a tourist attraction, although it still only achieved a medium level of accuracy. The TPI approach used in this study produced an accuracy of 76.47%, while the DI achieved only 58.82%. This medium accuracy does indicate that the two approaches are not yet strong enough to be used for decision-making but should be more than adequate as an initial description. Further, it is necessary to improve the method of indexing and the exploration of other aspects of Twitter data.

Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach Sudaryatno, Sudaryatno; Widayani, Prima; Wibowo, Totok Wahyu; Wiratmoko, Bagus; Nurbandi, Wahyu
Forum Geografi Vol 33, No 1 (2019): July 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i1.7592

Purworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approach using the Information Value Model (IVM) to conduct landslide hazard mapping. The parameters of slope, aspect, elevation, rainfall, NDVI, distance from rivers, distance from the road network, and distance from faults were employed for the analysis, which was conducted based on a raster data environment, since the pixel is the most appropriate means to represent continuous data. Landslide evidence data were collected by combining secondary data and interpreting satellite imagery to identify old landslides. The IVM was successfully calculated by combining factors related to disposition to landslides and data on 19 landslide occurrences. The results helped produce a landslide susceptibility map for the northern and eastern parts of Purworejo District.

Pemetaan Risiko Tsunami terhadap Bangunan secara Kuantitatif Totok Wahyu Wibowo; Djati Mardiatno; Sunarto Sunarto
Majalah Geografi Indonesia Vol 31, No 2 (2017): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

ABSTRAK Tsunami merupakan bencana alam yang sebagian besar kejadiannya dipicu oleh gempabumi dasar laut. Dampak kerugian tsunami terhadap lingkungan pesisir antara lain rusaknya properti, struktur bangunan, infrastruktur dan dapat mengakibatkan gangguan ekonomi. Bencana tsunami memiliki keunikan dibandingkan bencana lainnya, karena memiliki kemungkinan sangat kecil tetapi dengan ancaman yang tinggi. Paradigma Pengurangan Risiko Bencana (PRB) yang berkembang dalam beberapa tahun terakhir yang menekankan bahwa risiko merupakan hal utama dalam penentuan strategi terhadap bencana. Kelurahan Ploso, merupakan salah satu lokasi di Kabupaten Pacitan yang berpotensi terkena bencana tsunami. Pemetaan risiko bangunan dilakukan dengan metode kuantitatif, yang mana disusun atas peta kerentanan dan peta harga bangunan. Papathoma Tsunami Vulnerability 3 (PTVA-3) diadopsi untuk pemetaan kerentanan. Data harga bangunan diperoleh dari kombinasi kerja lapangan dan analisis Sistem Informasi Geografis (SIG). Hasil pemetaan risiko menunjukkan bahwa Lingkungan Barehan memiliki risiko kerugian paling tinggi diantara semua lingkungan di Kelurahan Ploso. Hasil ini dapat dijadikan sebagai acuan untuk penentuan strategi pengurangan risiko bencana di Kelurahan Ploso.ABSTRACT Tsunami is a natural disaster whose occurrences are mostly triggered by submarine earthquakes. The impact of tsunami on coastal environment includes damages to properties, building structures, and infrastructures as well as economic disruptions. Compared to other disasters, tsunamis are deemed unique because they have a very small occurrence probability but with a very high threat. The paradigm of Disaster Risk Reduction (DRR) that has developed in the last few years stresses risk as the primary factor to determine disaster strategies. Ploso Sub-district, an area in Pacitan Regency, is potentially affected by tsunamis. The risk mapping of the buildings in this sub-district was created using a quantitative method based on maps of vulnerability and building’s cost. This research used Papathoma Tsunami Vulnerability 3 (PTVA-3) for vulnerability mapping. The cost of the buildings was obtained from a combination of fieldwork and Geographic Information System (GIS). The results of risk mapping showed that the Barehan Environment had the highest risk of loss among the other environments in Ploso Sub-district. These findings, thereby, can be used as a reference for determining DRR strategy in Ploso Sub-district.

Tourist Attraction Popularity Mapping based on Geotagged Tweets Totok Wahyu Wibowo; Ahmad Faizan Bustomi; Anggito Venuary Sukamdi
Forum Geografi Vol 33, No 1 (2019): July 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i1.8021

The development of tourist attractions is now highly influenced by social media. The speed at which information can be disseminated via the Internet has become an essential factor in enabling distinct tourist attractions to potentially gain high popularity in a relatively short time. This condition was not as prevalent several years ago when tourism promotion remained limited to a certain kind of media. As a consequence, rapid change in the relative popularity of tourist attractions is inevitable. Against this, knowledge of tourist attraction hotspots is essential in tourism management. This means there is a need to study how to both quickly determine the popularity level of tourist attractions and encompass a relatively large area. This article utilised tweet data from microblogging website Twitter as the basis from which to determine the popularity level of a tourist attraction. Data mining was conducted using Python and the Tweepy module. The tweet data were collected at the end of April and early May 2017, at times when there are several long holiday weekends. A Tweet Proximity Index (TPI) was used to calculate both the density and frequency of tweets based on a defined search radius. A Density Index (DI) was also used as a technique for determining the popularity. The results from both approaches were then compared to a random survey about people’s perceptions of tourist attractions in the study area. The result shows that geotagged tweet data can be used to determine the popularity of a tourist attraction, although it still only achieved a medium level of accuracy. The TPI approach used in this study produced an accuracy of 76.47%, while the DI achieved only 58.82%. This medium accuracy does indicate that the two approaches are not yet strong enough to be used for decision-making but should be more than adequate as an initial description. Further, it is necessary to improve the method of indexing and the exploration of other aspects of Twitter data.

Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach Sudaryatno Sudaryatno; Prima Widayani; Totok Wahyu Wibowo; Bagus Wiratmoko; Wahyu Nurbandi
Forum Geografi Vol 33, No 1 (2019): July 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i1.7592

Purworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approach using the Information Value Model (IVM) to conduct landslide hazard mapping. The parameters of slope, aspect, elevation, rainfall, NDVI, distance from rivers, distance from the road network, and distance from faults were employed for the analysis, which was conducted based on a raster data environment, since the pixel is the most appropriate means to represent continuous data. Landslide evidence data were collected by combining secondary data and interpreting satellite imagery to identify old landslides. The IVM was successfully calculated by combining factors related to disposition to landslides and data on 19 landslide occurrences. The results helped produce a landslide susceptibility map for the northern and eastern parts of Purworejo District.

Line Generalization Evaluation on Contour Map Generated From SRTM and ASTER GDEM Totok Wahyu Wibowo
Journal of Applied Geospatial Information Vol 2 No 1 (2018): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v2i1.572

A contour map is one of many layers that composed Informasi Geospasial Dasar (IGD), which according to Act. No 4 2011 serves as a reference for any thematic map. The provision of contour map at a different level of scale is needed since mapping activities will always refer to map scale based on the mapping area. This research aims to analyze automated contour generation quality to produce 1:50.000 contour map, by means of using open access Digital Elevation Model (DEM) data, such as Shuttle Radar Topographic Mission (SRTM) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM). The automated contour generation was done by using contour interpolation in Quantum GIS software. Furthermore, simplification and smoothing algorithm was applied to both data, in order to improve their visual appearance. In this case, there are four algorithms used in the study, namely Douglas-Peucker, Visvalingam, Chaikin, and McMaster. Quality assessment, both qualitative and quantitative assessment, was done to each derived contour map to ensure the applicability of the procedure. The result shows that contour map generated from SRTM has a better quality than contour map generated from ASTER GDEM. Nevertheless, both data has a similar pattern on each topographical classes, which tends to produce bad quality contour line in the flat area. The more mountainous the area, the better the contour line. Meanwhile, of all generalization algorithm applied in this study, Chaikin’s algorithm is the best algorithm in terms of smoothing the contour line and improving visual quality, but still doesn’t significantly improved the metric accuracy. The contour line can be either directly added to the Digital Cartographic Model of Topographic Map (Rupabumi Map), or used as compliance data in a thematic map.

Pemetaan Rekomendasi Pengelolaan Kawasan Taman Nasional Gunung Merapi Dari Potensi Ancaman Perambahan Arinalhaq Arinalhaq; Totok Wahyu Wibowo
JURNAL GEOGRAFI Vol 12, No 1 (2020): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v12i01.14987

AbstractKawasan Taman Nasional Gunung Merapi (TNGM) memiliki ragam potensi keunikan keanekaragaman hayati, alam, budaya dan sosial ekonomi, sehingga keberadaan kawasan ini penting dalam menciptakan hubungan yang berkelanjutan antara manusia dan lingkungan alam. Ancaman akan kelestarian TNGM salah satunya datang dari kegiatan perambahan yang dilakukan oleh manusia. Penelitian ini bertujuan untuk menyusun peta tingkat potensi perambahan di TNGM dengan menggnakan pemodelan spasial berbasis Sistem Informasi Geografis (SIG). Pengetahuan tentang tingkat potensi perambahan tersebut dapat dimanfaatkan untuk mengetahui distribusi wilayah yang perlu disarankan untuk tindakan pengawasan. Pemodelan potensi ancaman perambahan disusun berdasarkan parameter ketinggian tempat, kemiringan lereng, jarak dari jaringan jalan, jarak dari jaringan sungai, jarak dari penggunaan lahan, dan jarak dari permukiman. Proses analisis yang digunakan adalah analisis tumpang susun dengan menggunakan metode kuantitatif berjenjang tertimbang. Hasil pemetaan potensi ancaman kemudian diintegrasikan dengan peta zonasi kawasan untuk menghasilkan rekomendasi tindakan pengawasan. Berdasarkan peta potensi ancaman diketahui bahwa bagian selatan dari daerah kajian memiliki tingkat ancaman yang paling tinggi, yang mana merupakan daerah di sekitar batas TNGM. Analisis rekomendasi tindakan pengawasan menunjukkan bahwa terdapat 1.194,71 hektar (58.35%) dari daerah kajian disarankan untuk diawasi. Daerah tersebut memiliki nilai potensi ancaman perambahan yang relatif tinggi dan termasuk dalam Zona Inti. Tepatnya berada dekat dengan batas kawasan yang kemungkinan besar terpengaruh oleh aktivitas masyarakat.Kata kunci: TNGM, Potensi Ancaman Perambahan, Sistem Informasi Geografis, Pemodelan Spasial. Mount Merapi National Park (TNGM) has a variety of potential uniqueness of biodiversity, nature, culture and socio-economic. The existence of this region is critical in creating sustainable relationships between humans and their natural environment. One of the threats to TNGM sustainability comes from encroachment activities carried out by humans. This study aims to perform spatial modeling by utilizing Geographic Information System to produce potential encroachment level map and uncover the areas that need monitoring. There are six parameters used to develop an encroachment threat model, namely elevation, slope, distance from the road, distance from the hydrological network, distance from land use, and distance from the settlement. Overlay analysis was implemented using a quantitative weighted scoring method. The result is then integrated with the TNGM zonation map to produce recommendations for supervision actions. The map of the potential level of encroachment threat show there are five classes of threat varying from high to low. The high-threat spatial arrangement dominates the southern area which is around the TNGM boundary. Recommendation analysis of supervisory actions shows that there are 1194.71 hectares (58.35%) of the study area recommended being monitored. Those were the region that both have a relatively high potential threat of encroachment and settled in the Core Zone. Precisely located near the boundaries of the area which are commonly affected by community activities.Key words: TNGM, Potential encroachment threat, Geographic Information System, Spatial modelling.

EKSPLORASI VISUALISASI SPASIO-TEMPORAL MENGGUNAKAN PERANGKAT LUNAK QUANTUM GIS DAN PLUGINTIME MANAGER Totok Wahyu Wibowo
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 7, No 2 (2018): Smart Comp :Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v7i2.965

Peta sangat dibutuhkan ketika seseorang ingin memahami pola dan hubungan geospasial, tetapi kebanyakan peta membatasi hanya kepada satu satuan waktu tertentu. Beberapa studi tentang kejadian atau proses geografis akan sulit dilaksanakanjika mengabaikan aspek waktu, karena banyak tantangan penting yang dihadapi manusia saat ini, seperti perubahan iklim global, perkembangan ekonomi, dan kesehatan membutuhkan deteksi, analisis perubahan dan tren untuk membantu pemecahan masalah. Visualisasi informasi secara spasio-temporal dimungkinkan dengan menambahkan kemampuan animasi pada peta.Perangkat lunak Quantum GIS (QGIS) merupakan salah satu pilihan dalam pengolahan data geospasial dan memiliki kemampuan untuk menyajikan peta dalam animasi. Kemampuan tersebut tidak lain karena adanya plugin TimeManager, yang dapat ditambahkan oleh pengguna. Tulisan ini akan melakukan eksplorasi kemampuan plugin tersebut untuk menyajikan peta animasi melalui variasi pada step size dan speed. Selain kedua hal tersebut akan dilakukan eksplorasi penyusunan peta animasi dengan efek offset dan penambahan layer data.Kata Kunci:Peta Animasi, Spasio-temporal, QGIS, Time Manager.

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